• 제목/요약/키워드: Logistics Technologies

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Influence of Surface Roughness of Tools on the Friction Stir Welding Process

  • Hartmann, Michael;Bohm, Stefan;Schuddekopf, Sven
    • Journal of Welding and Joining
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    • 제32권6호
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    • pp.22-28
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    • 2014
  • Most publications on friction stir welding describe phenomena or results with given process parameters like feed rate, rotation speed, angle and depth of penetration. But without a complete documentation of tool design, the results under the same process parameters are completely different. For this purpose, the Institute of Cutting and Joining Manufacturing Processes (tff), University of Kassel investigated the influence of tool roughness on the friction stir welding process. Therefore a defined surface finish was produced by turning and die sinking. As basis of comparison the constant parameters were rotation speed, feed rate, tilt angle and a heel plunge depth. Sound butt-welds were produced in aluminium alloy 6082 (AlMgSi1) with 1.5 mm sheet thickness with a turned reference tool with a surface of $Ra=0.575{\mu}m$ in position controlled mode. The surfaces are manufactured from a very fine to a very rough structure, classified by the VDI-classes with differences in the arithmetical mean roughness. It can be demonstrated with the help of temperature measures, that less heat is generated at the surfaces of the shoulder and the pin by the higher roughness due to lower active friction contact surface. This can also be seen in the resulting wormhole defects.

Generalized Vehicle Routing Problem for Reverse Logistics Aiming at Low Carbon Transportation

  • Shimizu, Yoshiaki;Sakaguchi, Tatsuhiko
    • Industrial Engineering and Management Systems
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    • 제12권2호
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    • pp.161-170
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    • 2013
  • Deployment of green transportation in reverse logistics is a key issue for low carbon technologies. To cope with such logistic innovation, this paper proposes a hybrid approach to solve practical vehicle routing problem (VRP) of pickup type that is common when considering the reverse logistics. Noticing that transportation cost depends not only on distance traveled but also on weight loaded, we propose a hierarchical procedure that can design an economically efficient reverse logistics network even when the scale of the problem becomes very large. Since environmental concerns are of growing importance in the reverse logistics field, we need to reveal some prospects that can reduce $CO_2$ emissions from the economically optimized VRP in the same framework. In order to cope with manifold circumstances, the above idea has been deployed by extending the Weber model to the generalized Weber model and to the case with an intermediate destination. Numerical experiments are carried out to validate the effectiveness of the proposed approach and to explore the prospects for future green reverse logistics.

RFID를 활용한 기업의 생산성제고 (Productivity Improvement by Using RFID in Industry)

  • 황남성
    • 대한기계학회논문집A
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    • 제32권11호
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    • pp.1041-1046
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    • 2008
  • RFID is an essential and inevitable technologies in logistics and manufacturing ones. The progress of RFID technology is still very slow owing to the cost of RFID and peripheral technologies however, some foreign countries such as US and Japan have already adopted RFID into real life for example, transportation and logistics and established its technologies as a commercial ones. Therefore, The purpose of this study is to prove that RFID technology can improve productivity and to take an example of a company adopted RFID technology had improved 50% or more increase in productivity. By demonstrating that, the necessity and effectiveness of RFID has proven. There are still many things to be solved like the development of RFID attaching machine. The machine was also suggested in this study.

The Effects of Logistics Technology Acceptance in the Fourth Industrial Revolution on Logistics Safety Performance: The Moderated Mediating Effect of Logistics Safety Behavior through Safety Culture

  • Kim, Young-Min
    • Journal of Korea Trade
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    • 제26권1호
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    • pp.57-80
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    • 2022
  • Purpose - This study aims to examine the relationships between the acceptance of the 4th industrial revolution logistics technology, logistics safety behavior, and logistics safety performance, as well as the moderated mediating effects of logistics safety behavior through safety culture in Korea. Design/methodology - Research models and hypotheses were established based on prior research related to the 4th industrial revolution logistics technology, logistics safety, and logistics performance. The survey was conducted on the employees of logistics companies, and reliability analysis, confirmatory factor analysis, discriminant validity analysis, structural equation model analysis, and mediating effect analysis were performed. In addition, the moderated mediating effect analysis applying SPSS Process Model No. 7 was conducted. Findings - Usefulness and sociality of the acceptance of the 4th industrial revolution logistics technology had a significant effect on logistics safety behavior. Ease of use, sociality, and efficiency had meaningful effect on logistics safety performance. And in the relationships between the acceptance of logistics technology and logistics safety performance, logistics safety behavior had a significant mediating effect. But the moderated mediating effect of safety behavior through safety culture was not significant. Logistics companies can improve logistics safety performance through the utilization of new logistics technologies such as intelligent logistics robots, autonomous driving technology, and artificial intelligence, etc. Originality/value - This is the first study to analyze the relationships between the acceptance of logistics technology in the 4th industrial revolution and logistics safety. In addition, previous studies analyzed mediating effects or moderating effects, but this is the first study to identify the moderated mediating effects of safety behavior through safety culture. In other words, it has originality in terms of research methodology.

물류 서비스 운영 효율과 개인정보 보안 향상을 위한 블록체인 기반 스마트 전자 운송장 플랫폼 시스템 분석 및 평가지표 도출에 관한 연구 (On derivation the System Analysis and Evaluation Indicators of Blockchain-based Smart Electronic Transport Waybill Platform for Improvement of Logistics Service Operation Efficiency and Personal Information Security)

  • 박재민;원종운;성기덕;김영민
    • 대한안전경영과학회지
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    • 제22권4호
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    • pp.75-86
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    • 2020
  • With the advent of the 4.0 era of logistics due to the Fourth Industrial Revolution, infrastructures have been built to receive the same services online and offline. Logistics services affected by logistics 4.0 and IT technology are rapidly changing. Logistics services are developing using technologies such as big data, artificial intelligence, blockchain, Internet of things, and augmented reality. The convergence of logistics services and various IT new technologies is accelerating, and the development of data management solution technology has led to the emergence of electronic cargo waybill to replace paper cargo waybill. The electronic waybill was developed to supplement paper waybill that lack economical and safety. However, the electronic waybill that appeared to complement the paper waybill are also in need of complementation in terms of efficiency and reliability. New research is needed to ensure that electronic cargo waybill gain the trust of users and are actively utilized. To solve this problem, electronic cargo waybill that combine blockchain technology are being developed. This study aims to improve the reliability, operational efficiency and safety of blockchain electronic cargo waybill. The purpose of this study is to analyze the blockchain-based electronic cargo waybill system and to derive evaluation indicators for system supplementation.

물류공동화 활성화를 위한 빅데이터 마이닝 적용 연구 : AHP 기법을 중심으로 (Study on the Application of Big Data Mining to Activate Physical Distribution Cooperation : Focusing AHP Technique)

  • 박영현;이재호;김경우
    • 무역학회지
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    • 제46권5호
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    • pp.65-81
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    • 2021
  • The technological development in the era of the 4th industrial revolution is changing the paradigm of various industries. Various technologies such as big data, cloud, artificial intelligence, virtual reality, and the Internet of Things are used, creating synergy effects with existing industries, creating radical development and value creation. Among them, the logistics sector has been greatly influenced by quantitative data from the past and has been continuously accumulating and managing data, so it is highly likely to be linked with big data analysis and has a high utilization effect. The modern advanced technology has developed together with the data mining technology to discover hidden patterns and new correlations in such big data, and through this, meaningful results are being derived. Therefore, data mining occupies an important part in big data analysis, and this study tried to analyze data mining techniques that can contribute to the logistics field and common logistics using these data mining technologies. Therefore, by using the AHP technique, it was attempted to derive priorities for each type of efficient data mining for logisticalization, and R program and R Studio were used as tools to analyze this. Criteria of AHP method set association analysis, cluster analysis, decision tree method, artificial neural network method, web mining, and opinion mining. For the alternatives, common transport and delivery, common logistics center, common logistics information system, and common logistics partnership were set as factors.

물류시스템의 핵심기술지도 (The Kernel of Technology in Logistics Systems)

  • 변의석
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 2004년도 춘계공동학술대회 논문집
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    • pp.159-162
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    • 2004
  • Logistics industry confronting very complex situation because of small quantity, frequent orders, multinational enterprises, lack of human power etc. leads to diversity, flexibility and agility. In this paper, integrated approach is introduced for projecting national technologies in logistics systems related to IT and automated control industry. Three areas of automation, IT basis, and operation techniques are included along with business factors of transportation, warehousing, stevedoring, pecking, and information systems. As a result, the epitome concludes the technology of in-house development and joint collaboration with others.

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The Concept of Human Resource Management in Logistics Processes

  • Shtuler, Iryna;Zabarna, Eleonora;Kyrlyk, Nataliya;Kostovyat, Hanna
    • International Journal of Computer Science & Network Security
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    • 제21권12호
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    • pp.110-116
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    • 2021
  • The article focuses on the need to deepen the issue of human resource management in logistics processes. It is noted that changes in market conditions and turbulence in the institutional environment require managers to form a highly effective human resources policy capable to ensure the innovative development of the enterprise. Functional strategies for human resource management in logistical processes are proposed, namely: adaptive, innovative, selective and exclusive. Innovative technologies that should be used in the adaptive human resources policy process are identified.

On the Establishment of LSTM-based Predictive Maintenance Platform to Secure The Operational Reliability of ICT/Cold-Chain Unmanned Storage

  • Sunwoo Hwang;Youngmin Kim
    • International journal of advanced smart convergence
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    • 제12권3호
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    • pp.221-232
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    • 2023
  • Recently, due to the expansion of the logistics industry, demand for logistics automation equipment is increasing. The modern logistics industry is a high-tech industry that combines various technologies. In general, as various technologies are grafted, the complexity of the system increases, and the occurrence rate of defects and failures also increases. As such, it is time for a predictive maintenance model specialized for logistics automation equipment. In this paper, in order to secure the operational reliability of the ICT/Cold-Chain Unmanned Storage, a predictive maintenance system was implemented based on the LSTM model. In this paper, a server for data management, such as collection and monitoring, and an analysis server that notifies the monitoring server through data-based failure and defect analysis are separately distinguished. The predictive maintenance platform presented in this paper works by collecting data and receiving data based on RabbitMQ, loading data in an InMemory method using Redis, and managing snapshot data DB in real time. The predictive maintenance platform can contribute to securing reliability by identifying potential failures and defects that may occur in the operation of the ICT/Cold-Chain Unmanned Storage in the future.

Optimal Routing and Uncertainty Processing using Geographical Information for e-Logistics Chain Execution

  • Kim, Jin Suk;Ryu, Keun Ho
    • Management Science and Financial Engineering
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    • 제10권2호
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    • pp.1-28
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    • 2004
  • The integrated supply chain of business partners for e-Commerce in cyber space is defined as Logistics Chain if the cooperative activities are logistics-related. Logistics Chain could be managed effectively and efficiently by cooperative technologies of logistics chain execution. In this paper, we propose a routing and scheduling algorithm based on the Tabu search by adding geographical information into existing constraint for pick-up and delivery process to minimize service time and cost in logistics chain. And, we also consider an uncertainty processing for the tracing of moving object to control pick-up and delivery vehicles based on GPS/GIS/ITS. Uncertainty processing is required to minimize amount of telecommunication and database on vehicles tracing. Finally, we describe the Logistics Chain Execution (LCE) system to perform plan and control activities for postal logistics chain. To evaluate practical effects of the routing and scheduling system, we perform a pretest for the performance of the tabu search algorithm. And then we compare our result with the result of the pick-up and delivery routing plan generated manually by postmen.